Data design: visualising quantities, locations, connections

Material type: BookPublisher: LondonBloomsbury2015Description: 175 p.ISBN: 9781408191873.Subject(s): Information visualizationDDC classification: 001.4226 Summary: Data Design: Visualising quantities, locations, connections is a lively and comprehensive introduction to data visualisation, illustrated with 199 instructive data displays. The book is for designers, journalists, editors, writers and anyone concerned with presenting factual information in a clear and effective way.
Data Design highlights the key qualities of good data visualisation: accuracy, simplicity, and clarity. In this spirit, Per Mollerup discusses information design with great clarity. The proposed data displays are as simple as possible, and every graphic element is there to convey meaning. This book is not about data decoration.
Data Design can be read from cover to cover, but it doesn't have to be. It can also serve as a reference guide. Each of the data displays included is explained in such a way as to clarify the problems to be addressed and the method by which to address them, enabling the reader to develop the skills with which to improve their data visualisation designs.
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Data Design: Visualising quantities, locations, connections is a lively and comprehensive introduction to data visualisation, illustrated with 199 instructive data displays. The book is for designers, journalists, editors, writers and anyone concerned with presenting factual information in a clear and effective way.

Data Design highlights the key qualities of good data visualisation: accuracy, simplicity, and clarity. In this spirit, Per Mollerup discusses information design with great clarity. The proposed data displays are as simple as possible, and every graphic element is there to convey meaning. This book is not about data decoration.

Data Design can be read from cover to cover, but it doesn't have to be. It can also serve as a reference guide. Each of the data displays included is explained in such a way as to clarify the problems to be addressed and the method by which to address them, enabling the reader to develop the skills with which to improve their data visualisation designs.